Job Description
Join QuantumLeap Analytics as a Senior Data Scientist and revolutionize how businesses leverage data. We're a cutting-edge AI startup transforming healthcare analytics with our predictive modeling platform. In this pivotal role, you'll architect machine learning solutions that directly impact patient outcomes and operational efficiency. Collaborate with cross-functional teams to translate complex business challenges into actionable data strategies. Enjoy competitive benefits, flexible work arrangements, and opportunities to publish research in leading journals.
Responsibilities
- Design and implement scalable ML models for healthcare predictive analytics
- Lead end-to-end data science projects from ideation to production deployment
- Collaborate with product teams to define data-driven product roadmaps
- Present findings to C-level executives through compelling data visualizations
- Mentor junior data scientists and conduct peer code reviews
- Stay current with emerging AI/ML techniques through industry research
- Optimize data pipelines for real-time processing and low-latency inference
Qualifications
- MS/PhD in Statistics, Computer Science, or related quantitative field
- 5+ years of applied data science experience in regulated industries
- Expertise in Python, PyTorch/TensorFlow, and cloud ML platforms (AWS/GCP)
- Proven track record of deploying production ML systems at scale
- Strong statistical modeling and experimental design skills
- Experience with healthcare data (HIPAA compliance preferred)
- Excellent communication skills translating technical concepts to stakeholders
- Portfolio demonstrating impactful data science projects